Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A GIS-Based Framework for Optimizing Site Selection of New Cities in the State of Kuwait: A Study in Environmental Geomorphology

Version 1 : Received: 3 February 2021 / Approved: 5 February 2021 / Online: 5 February 2021 (09:54:43 CET)

How to cite: Hassan, A.; Alfaraj, M.; Fayad, M.; Allen, C.D. A GIS-Based Framework for Optimizing Site Selection of New Cities in the State of Kuwait: A Study in Environmental Geomorphology. Preprints 2021, 2021020151 (doi: 10.20944/preprints202102.0151.v1). Hassan, A.; Alfaraj, M.; Fayad, M.; Allen, C.D. A GIS-Based Framework for Optimizing Site Selection of New Cities in the State of Kuwait: A Study in Environmental Geomorphology. Preprints 2021, 2021020151 (doi: 10.20944/preprints202102.0151.v1).

Abstract

The State of Kuwait seeks sustainable development through implementation of clear and specific urban plans, some of which suffer from a severe lack of geomorphological and spatially-based environmental planning, such as the use of geographic information systems (GIS). Choosing the optimal location for a city based on sound environmental planning is of the utmost importance to achieving environmental sustainability, as it can spare the State and other decision-making entities a great deal of stress in the long run. GIS, in particular, offers great potential for the environmental planner and decision-maker to choose the most appropriate places for the cities of the future, especially when coupled with geomorphological analyses. To achieve the Vision of Kuwait 2035, one of the State’s planning objectives focuses on Urban Planning for the Establishment of Environmental Cities that Achieve (UPEECA) environmental sustainability criteria. To gain a more holistic analysis related to the Vision, this study aims to: 1) Conduct suitability modelling for establishing new cities in Kuwait, 2) Assess the current 2005-2030 urban plan, and 3) Propose possible recommendations and solutions for potential urban problems. The study relies on integrating several methods to devise a framework that will aid researchers and decision-makers in selecting optimal locations for built structures based on analysis and modelling (e.g., digital elevation model, geologic mapping, geomorphology, natural hazards, heritage/archaeological sites, military areas, oil fields, soils)

Subject Areas

Environmental geomorphology; Urban Geomorphology; GIS- Suitability modeling; RS

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